Rationalizing Rural Area Classifications for the Economic Research Service
Rationalizing Rural Area Classifications for the Economic Research Service

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2016-02-05

Total Pages: 191

ISBN-13: 0309380561

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The U.S. Department of Agriculture Economic Research Service (USDA/ERS) maintains four highly related but distinct geographic classification systems to designate areas by the degree to which they are rural. The original urban-rural code scheme was developed by the ERS in the 1970s. Rural America today is very different from the rural America of 1970 described in the first rural classification report. At that time migration to cities and poverty among the people left behind was a central concern. The more rural a residence, the more likely a person was to live in poverty, and this relationship held true regardless of age or race. Since the 1970s the interstate highway system was completed and broadband was developed. Services have become more consolidated into larger centers. Some of the traditional rural industries, farming and mining, have prospered, and there has been rural amenity-based in-migration. Many major structural and economic changes have occurred during this period. These factors have resulted in a quite different rural economy and society since 1970. In April 2015, the Committee on National Statistics convened a workshop to explore the data, estimation, and policy issues for rationalizing the multiple classifications of rural areas currently in use by the Economic Research Service (ERS). Participants aimed to help ERS make decisions regarding the generation of a county rural-urban scale for public use, taking into consideration the changed social and economic environment. This report summarizes the presentations and discussions from the workshop.

Mapping the Socio-economic Diversity of Rural Canada
Mapping the Socio-economic Diversity of Rural Canada

Author: Alessandro Alasia

Publisher:

Published: 2004

Total Pages: 0

ISBN-13: 9780662366133

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This in turn has raised a number of questions The utility of factor analysis stems from a about the structure and characteristics of reduction of the complexity due to the variety of homogeneous regions and the way in which these measures and indicators that a researcher often should be identified. [...] This bulletin assesses the degree of spatial These dimensions provide a perspective on the diversity across rural and urban Canada in terms relative position of the CD with respect to the of a number of demographic, social and economic dimension identified. [...] The use and interpretation of the results of this study cannot be stretched beyond the scope of the research itself. [...] The results of the factor analysis, then, clearly depend on the nature of the variables used in the computation. [...] For analogous septile categories, the closer are the values of the two tables, the better the factor captures the variability of the indicator.

Making Other Worlds Possible
Making Other Worlds Possible

Author: Gerda Roelvink

Publisher: U of Minnesota Press

Published: 2015-04-01

Total Pages: 413

ISBN-13: 1452944199

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There is no doubt that “economy” is a keyword in contemporary life, yet what constitutes economy is increasingly contested terrain. Interested in building “other worlds,” J. K. Gibson-Graham have argued that the economy is not only diverse but also open to experimentations that foreground the well-being of humans and nonhumans alike. Making Other Worlds Possible brings together in one volume a compelling range of projects inspired by the diverse economies research agenda pioneered by Gibson-Graham. This collection offers perspectives from a wide variety of prominent scholars that put diverse economies into conversation with other contemporary projects that reconfigure the economy as performative. Here, Robert Snyder and Kevin St. Martin explore the emergence of community-supported fisheries; Elizabeth S. Barron documents how active engagements between people, plants, and fungi in the United States and Scotland are examples of highly productive diverse economic practices; and Michel Callon investigates how alternative forms of market organization and practices can be designed and implemented. Firmly establishing diverse economies as a field of research, Making Other Worlds Possible outlines an array of ways scholars are enacting economies differently that privilege ethical negotiation and a politics of possibility. Ultimately, this book contributes to the making of economies that put people and the environment at the forefront of economic decision making. Contributors: Elizabeth S. Barron, U of Wisconsin–Oshkosh; Amanda Cahill; Michel Callon, École des mines de Paris; Jenny Cameron, U of Newcastle, Australia; Stephen Healy, Worcester State U; Yahya M. Madra, Bogazici U; Deirdre McKay, Keele U; Sarah A. Moore, U of Wisconsin–Madison; Ceren Ŏzselçuk, Bogazici U; Marianna Pavlovskaya, Hunter College, CUNY; Paul Robbins, U of Wisconsin–Madison; Maliha Safri, Drew U; Robert Snyder, Island Institute; Karen Werner, Goddard College.

Mapping the Socio-economic Diversity of Rural Canada [electronic Resource] : a Multivariate Analysis
Mapping the Socio-economic Diversity of Rural Canada [electronic Resource] : a Multivariate Analysis

Author: Alessandro Alasia

Publisher:

Published: 2004

Total Pages: 49

ISBN-13: 9780662364429

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This paper assesses the degree of spatial socio-economic diversity exhibited across Canada by using 1996 Census of Population data aggregated at the Census division level. The study is based on a range of commonly used & understood demographic, social, & economic variables. A factor analysis is conducted to identify underlying dimensions that characterize each Census division across Canada. Six factors are identified that account for about 78 percent of the variance in the data set: labour force & economic attributes, remote & agro-rural attributes, demographic & labour force attributes, complex manufacturing versus primary production employment attributes, traditional manufacturing versus government employment attributes, and demographic dynamics. The spatial distribution of these factors reveal regional differences as well as differences between Census division types.